DocumentCode
2743461
Title
Application of Multi-layer Feed-forward Neural Network in Fault Diagnosis Based on FBP Algorithm
Author
Bin, Zhang ; Jun, Yan ; Wei, Zhang
Author_Institution
Eng. Inst. of Eng. Crops, PLA Univ.of Sci. & Tech., Nanjing
fYear
2008
fDate
6-8 Aug. 2008
Firstpage
117
Lastpage
120
Abstract
This paper aims at the BP neural network model, to against the problems of the weakness of capability of knowledge acquisition and low stability of learning and memory. The paper put forward a new fast error back propagation algorithm, and give an example to make a comparison between BP algorithm and FBP algorithm on fault diagnosis, The diagnosis results indicate the reliability of this method.
Keywords
backpropagation; fault diagnosis; knowledge acquisition; multilayer perceptrons; BP neural network model; error back propagation algorithm; fault diagnosis; knowledge acquisition; multilayer feedforward neural network; Artificial intelligence; Distributed computing; Fault diagnosis; Feedforward neural networks; Feedforward systems; Machine learning; Multi-layer neural network; Neural networks; Neurons; Software engineering; FBP algorithm; Fault diagnosis; Multi-layer Feed-forward Network; Rotary Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
Conference_Location
Phuket
Print_ISBN
978-0-7695-3263-9
Type
conf
DOI
10.1109/SNPD.2008.11
Filename
4617358
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